Currently, the software supports over 70 open-source LLM models from Hugging Face, including popular options such as Baichuan 2, Distill-GPT2, GLM4, Llama 2, and Llama 3. Despite Hugging Face hosting over 770,000 models, AI TOP’s selection is limited by the memory capacity constraints inhe...
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用 - Llama-Chinese/train/sft/finetune_clm_lora.py at main · LlamaFamily/Llama-Chinese
LLM training in simple, raw C/CUDA. Contribute to Amanieu/llm.c development by creating an account on GitHub.
In this article, we will take a popular and capable open-source LLM model, train it on our own data similar to what we did in a previous article, and validate the results. While the example we’re tackling is non-commercial and based on public information, the techniques can be easily...
What we are trying to do here is to take an ordinarytext-generating modellike Llama or GPT-2 and finetune it to follow instructions. The raw models were trained to generate text, so if you’d like to know what is the capital of Poland, for example, your best chance is to prompt it...
Python code to train ChatGPT on your business data. The code above is rudimentary but serves the purpose. Under the hood, Llama indexes our content and stores it in a “vector index,” which is best suited for comparison searches. An index is ...
We tested the fine-tuning on two popular LLMs (LLaMA-7B and FLAN-T5 XL) using 52,000 general instruction samples from Alpaca and our generated 2,000 domain instruction samples. Using the previously described software optimization techniques, we observe up to 25x speedup on 4th...
登录/注册 王燕飞 2个孩子的爸爸,兴趣在通用计算系统、AI计算系统和算法 llama2.c | Train the Llama 2 LLM architecture in PyTorch then inference it with one simple 700-line C file (). You might think that you need many billion parameter LLMs to do anything useful, but in fact very small ...
Our default data is in/root/demo-data/llama_data.json. The current data source is Huatuo, a medical model finetuned using Chinese medical data. Yes, our example is training a family doctor: If you have data in a specific field, you can point to your own data, the data format ...
[Bootstrap Your Own Context Length]: We introduce a bootstrapping approach to train long-context language models by exploiting their short-context capabilities only. Our method utilizes a simple agent workflow to synthesize diverse long-context instruction tuning data, thereby eliminating the necessity...